sparkline-nb.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><h1>DataFrame Sparklines</h1></center>\n",
    "\n",
    "An approach to [sparklines](https://en.wikipedia.org/wiki/Sparkline) within pandas dataframes using matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import base64\n",
    "import requests\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from time import sleep\n",
    "from itertools import chain\n",
    "from io import BytesIO\n",
    "from datetime import timedelta, date\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Turn off the max column width so the HTML \n",
    "# image tags don't get truncated \n",
    "pd.set_option('display.max_colwidth', -1)\n",
    "\n",
    "# Turning off the max column will display all the data in\n",
    "# our arrays so limit the number of element to display\n",
    "pd.set_option('display.max_seq_items', 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sparkline(data, figsize=(4, 0.25), **kwags):\n",
    "    \"\"\"\n",
    "    Returns a HTML image tag containing a base64 encoded sparkline style plot\n",
    "    \"\"\"\n",
    "    data = list(data)\n",
    "    \n",
    "    fig, ax = plt.subplots(1, 1, figsize=figsize, **kwags)\n",
    "    ax.plot(data)\n",
    "    for k,v in ax.spines.items():\n",
    "        v.set_visible(False)\n",
    "    ax.set_xticks([])\n",
    "    ax.set_yticks([])    \n",
    "\n",
    "    plt.plot(len(data) - 1, data[len(data) - 1], 'r.')\n",
    "\n",
    "    ax.fill_between(range(len(data)), data, len(data)*[min(data)], alpha=0.1)\n",
    "    \n",
    "    img = BytesIO()\n",
    "    plt.savefig(img)\n",
    "    img.seek(0)\n",
    "    plt.close()\n",
    "    return '<img src=\"data:image/png;base64,{}\"/>'.format(base64.b64encode(img.read()).decode())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Data Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>func</th>\n",
       "      <th>data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rand</td>\n",
       "      <td>[0.9187575576281609, 0.3550282615844176, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>randn</td>\n",
       "      <td>[0.37277735934834416, 0.4859825971860001, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>beta</td>\n",
       "      <td>[0.7732785250793843, 0.8332320139985113, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>binomial</td>\n",
       "      <td>[0, 0, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>exponential</td>\n",
       "      <td>[0.34040368186944686, 1.6173768806166136, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>geometric</td>\n",
       "      <td>[2, 2, ...]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>laplace</td>\n",
       "      <td>[-0.3833207618460399, 0.559239317634042, ...]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          func                                            data\n",
       "0  rand         [0.9187575576281609, 0.3550282615844176, ...] \n",
       "1  randn        [0.37277735934834416, 0.4859825971860001, ...]\n",
       "2  beta         [0.7732785250793843, 0.8332320139985113, ...] \n",
       "3  binomial     [0, 0, ...]                                   \n",
       "4  exponential  [0.34040368186944686, 1.6173768806166136, ...]\n",
       "5  geometric    [2, 2, ...]                                   \n",
       "6  laplace      [-0.3833207618460399, 0.559239317634042, ...] "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = 100\n",
    "\n",
    "data = [\n",
    "    ('rand',        np.random.rand(n)), \n",
    "    ('randn',       np.random.randn(n)), \n",
    "    ('beta',        np.random.beta(2, 1, size=n)),\n",
    "    ('binomial',    np.random.binomial(3.4, 0.22, size=n)),\n",
    "    ('exponential', np.random.exponential(size=n)),\n",
    "    ('geometric',   np.random.geometric(0.5, size=n)),\n",
    "    ('laplace',     np.random.laplace(size=n))\n",
    "]\n",
    "spark = pd.DataFrame(data, columns=['func', 'data'])\n",
    "spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>func</th>\n",
       "      <th>data</th>\n",
       "      <th>sparklines</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rand</td>\n",
       "      <td>[0.9187575576281609, 0.3550282615844176, ...]</td>\n",
       "      <td><img 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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>randn</td>\n",
       "      <td>[0.37277735934834416, 0.4859825971860001, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>beta</td>\n",
       "      <td>[0.7732785250793843, 0.8332320139985113, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>binomial</td>\n",
       "      <td>[0, 0, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>exponential</td>\n",
       "      <td>[0.34040368186944686, 1.6173768806166136, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>geometric</td>\n",
       "      <td>[2, 2, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>laplace</td>\n",
       "      <td>[-0.3833207618460399, 0.559239317634042, ...]</td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAASCAYAAAD7RgOSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAADXhJREFUeJztmml4VFW2ht9Tc+a5MpBAAiRhCAnhAgliIiDggAqo7dy2qFe4l6ZttG19rt22+tiCyiMO0NcBFVoBBWxFGhEuYU5MkJAQMg9kHipVSaVSldRc5/5IkyYkYZAgoPX+q13nrLP2qrW/vdY+JYiiKOLGjRs3VwDJlXbAjRs3v1zcAuTmkmnqMJP22j6yKnVX2hU31xhuARoAp0tkY04tzQbzlXZlUKwOJyt3lVLYaBgym/Xt3ewsaL7o+7bnN1GvN/PC9iLsTteQ+fNzwH3CcW7cAnQWLpfIs18W8PxXhbyTUdk7vmp3GVuP1fe7vkJjpEbXdVl90nRa+iSyKIr8cVsB7x2s4qkv8nFc4KIv1xgHFSynS2Txp7ks3XScvDr9Rfm3s6AJX5WMSq2Jjdm1F3RPVqWO6ssctwulSmvC6nAOud33D1aR9vr+y2J7IERRZMeJJjJKND/J84aCn5UAWezOSxKDKq2Jp7eeYFtuA74est6WQtNpYc3+Sp7ZVsCmnDoAWjstPPdlAXPfOsT8tZmUa4x9bOm7bH3GHE4X+i5bv2fWtXXz568LB1yMOpOVJz/PI+XVDJZuOo7J6sDqcLJiVynb85u4fnQw5a0mNv/QXxjPpsvq4IEPs7nvg2y0Rmu/7zfm1FLc3IlcKvDW3goAjBY7WZW6c+7iNbouCps6eWR6NFOiA1i9t4Kmjp7K0dBtZ31mNbm1fQXtRH0Hv/74KA+ty6HL6jiv7z+GnFNtPLUlH4PZ3jtW2GjAYu8rBofKtcx+8yBLNx7H5eo7z/YuG9228/vX2mmhtKWzz1hpSyer9pTRoDeTfar9EmZyYZisDp78PJ9lm/N4bMMxnt1WcNliO5TIrrQDP5ZqXRcrvi2hWtfFql8lERngwaL1P1DYaOCfy9IYF+GLw+kiv76DseG+eClltBotlLUYmT4qGIlEAHqScufJZvYUtVCl7RGBx6+PwUclY/XeChr03WT+S4jGhfvyP1+dZN3hU5zSdSGTCNw9KZL9Za38+qMcti25jqhAT2wOFw+uy6FMY+TF28cxI17N0o3HqdKa+O736UQFevbO4y/fFLK/TMuWY/U8lDqCco2Ro9XtyCQCDpeI0yUye6ya3YUaTtQfwmR1YDDbWTAxguduGcPSjcd5c08ZdyRG4OcpHzRe7x+sQmeyIZMIrNhVwpv3TMTpEtGZrHSa7byxu4wp0QFMjQlk7f4q9hS1sHpvOSXNRmaNUfPaXYmE+Cj72d15sqdlmz02lJSYIBZ98gM3vLGfWWPUfF/VRqelZxHckRTBH+bGo/ZV8oetJ/BRyWjqMPPad6Usnx3HKztLaDaYmTwigNRRQUweEYhC9u/9cW+xhq259dS0daOSSXhlwQQmRPpR19ZNcbOBGfFqVHIpNoeL/z1QxdsZ5bhEuCEuhPkTh1HQ0MEdazIJ9VWydOZoFiYPw2hx8OTnefioZOwtaeVvByr57axYOi123s2o4JPMGnxUMp6aE8f9U4cjk/bfr2vburj3/Ww0RgtLbhjF8tlxSAR4ZusJvJUyum1O9pVouCEupPcem8PFZ9m1lLZ0YrQ4WD4njrhQHw6UtfLC9iLC/VSkxARitjtpNliIDPAkKdKPUWpvwvxUnKjvYH+pFn9POakjg8it1bM+qxqt0cri9JFYHS42ZNVQrjGyZck05AP4fbUgXIuv4dfsq+DtjArkUgneShn6bhvB3krau2zIpRKSovz47LEU/ry9kM+y65BJBCIDPKhp6wbg6TlxLLsxlm9PNvPfG48jkwgkD/fnhrgQ0uNCCPVVUdVq4oF1Obx+VyIZpRry6zvYumQaq3aXozVZSY7yZ2a8muFBnlS2mljyWS5+HnLWL5rC9vwm3t1XydhwH0qajajkEqQSAZcLpsYEsn7RFARBIKtSxwPrcngodTh17d0cKtcRFehBakxQz/WiyJ2TIokJ9uJ4rZ63MyoYEeTJrRPCSYkJRBAEyjVGHv7oKF5KGcnD/ZkY5U/CMD/SY0PwUEgBaDaYmbnqAGmxIUT4q9iQVcvy2XF8ldfQGxOZRGDj4ymofZUs/FsWHd12VHIJC5OH8WVuI0q5hLTYYFJigogN9SY6yAu1j5Lb3j2CQibhw4cnA9CoN7PpaB3fFbaQFOXHoukxZFbq2JRTh93pIlbtQ5nGyFv3TiT7VBuf/1BPiI8SfZeNmGAvqrQmXCJ4KaXMiFMzLzGcYzV6Ps6sJsxXRWyoN2UtRvTdNq4bFczhCi0uEUJ8lNw4Rs2eYg3tXTZuGh/KoXId90yO5KX5Cbx/sIoVu0qZMMyPk40G5FKBAE8FJquD9Yum8NGRavYUa4gP9aFKa8LhFJmXGE5zh5ncug7i1N68ND+BaaOCevOwvr2bez/4ni6rk9SRgewu0uDnIUcAOsx2Xl2YwK7CFk5puzjy7EwEoWfTe+9gFSt3lRLkpcDudOF0iTw0bQQfHa4mKsADhUxKucaIQiYh2FuJptOC46zqTCmTYHO4OD06JTqAJ9JHkhjpD8DuohZe2F7E72aN5qm58ZdrKV4y16QAbcqpI6e6jcXpI5FJJby6s4QTDR28fncixU2drN5bwb2To/jiWD23J4UT4KmgWtdFQoQfJS2dHCrXsvLORF7aUURMiBer75mIr0ff6kEURW595wipIwM5WKZl7vgwnrtlzKA+lTR38tSWEzicLrpsTm4eH8bz88by3sEqTjYYeH7eWLKq2njz/8p55/5kbpsQzvy1R9AabWxZkopCKsFoceCjkvUm6oWSU93GgVItBQ0GTul6FvB/jAjgiydSkUoElm3OY3dRC1sWTyPAU8G9H3yPptPKaLU385MiUMolxIX6MDbcF4Cv8hr56HA1K+7sqTJOaU18ml3LsRo9rWe0b4IAogjLZ8dy39Th5/RRa7Sy5Vg9/zjeyM0JYTxzUzxmm5PffHIUlyjyyoIExoT50mV1kFurJ7NSx6EKHe3/alvvmRzJslmxKGQSDN12Vn5XSm6tntsSw0ke7s/mo/Xk13WQFhvMwknDSIkJZOmmPGwOJzuWpfH4hmOUaTrZungahY2d7Ctt5Wh1O/+ZHsOMeDVmm5M/fV2I0yUySu3FnHGhjAnzRRRFDpXrWL23nGaDhbsmRfLC7eNoNph55OMf6LY5WPvgJOJCfThcoeVwhQ6pIBAb6s2dkyL5Oq+RFbtK+e73ab325q4+hIdCyocPT6bVaOGP2wooaTaSHOXPql8l4a2SYbE7UcokCIKAzeGiSmuirr2bFoOFmGAvpsYEYrX3VPgRASpi1T79Yv7yjmJadu/j7TADkQtvhWnTLiqvfgquSQGCnvMR5xm7gtMlIpUI2J0u7v8gm3q9meQof9Y8mIxM8u8S1GR18JuPj9KgN+PvKefvj04l1Fc14DNe2F7InmINoghv3J1I+hll9EA0dZhZ/kU+VoeLzx5LwVvVt8N1ukQe33CMco0RpVxCl9XJi3eM45aE8EuIRF8sdie7CltYuauU384cjYdCyhu7y1icPpJHr48BoLLVRGOHmbTYYCSDiJ0oiv2EUBRFWo1Watu6adB302ay0W138tj0mH5zHQyXKCJAr22L3YlMKvT5jU7jdInk1emRSSVMjPI/r+3TOXCa9w5U8ffsWgr+MpfpK/eRFhfMn+aNuyA/z8Zid/JJZg2ffl9LiK8Sk8WBh1zK6vuSBlz8p9GZrMx75wjP3BTP0pmjOdlg4PY1R3j25njunBTZa/twhY602GBUcumP8m8g7EcyCV4wD7nDjkSlRMjIuOpE6Jo9Azqb04knl0p47pYxfJJZw0vzx/dLbG+ljFcWJPDyjmKWz4kbVHwAJkf3lNVyqcCU6MDz+hDh78HGx1OwOV14KvqHVioR+OvCBLblNuBwiYT7qbhpfNhFzvTcqORSFiYPo6jJwNoDlYgi3JwQxqLp0b3XjFZ7M1rtfU47A1VhgiAQ6qsi1FfF1Jjzx2Mgzha8cy04qURg8gXE/czrzyQh0g+nS+QfeY10mO0kRZ5fxAZDJZfyXzNGkR4XzMs7ivHyVfLmPRMJ8xs8fwCCvZWMDfcho0TD0pmj+fJ4AwqphDnjQvvYPvPzUOGXk4XC6UAiusBmgwMH3AL0UzA5OvCciTs23JfNT6Se186U6AAAJg0P6D1POR8yqWTAw8rTRPh78LsbYy/I1qXw9Jx4SpuNBHgqeP7WsRfd1v0cmBDhB8C6w6cASLqAKup8jI/wY/MTqYhif8EbjPTYEN4/dIoXvylie34j6XHB+KgGf2EwVNjT0hCUCkSbDUGhgBkzLvszL5afpQANFeF+Htw/NYrrRgVfaVcuGg+FlPWPTkEqCL9I8QHw85QzIsiT2rZuAr0URAV4DIldiSDARYT0gZThtHfZ2JBVgwjcMmHoWu5zYZ+aiv6bbwk4mgUzZ1511Q/8jM6A3LgZiJf/WczOgmZmxoew8q7EK+rLyUYDubV6HkodPuCZ1+VC7aO8ajehq/cPAm7cDAEThvW0YRdyiH25mTDMj0eui/5Jxedq55ptwQI8FVfaBTfXALcnRrCnSMOC5GEEe/f/I+Uvgau1+oFruAVz48bNtY+7FnTjxs0V4/8BtpKsmr2YckkAAAAASUVORK5CYII=\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# map the sparkline function over the data column\n",
    "# and store back in the column sparklines\n",
    "spark['sparklines'] = spark.data.map(sparkline)\n",
    "\n",
    "# _repr_html_ escapes HTML so manually handle the rendering\n",
    "HTML(spark.to_html(escape=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aggregation Example\n",
    "\n",
    "Query [fixer.io](http://fixer.io/) for currency exchange data against the Euro. Aggregate by country and display sparklines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_fixer_rates(date):\n",
    "    \"\"\"\n",
    "    Query fixer.io for currency exchange data\n",
    "    \"\"\"\n",
    "    res = requests.get(\"http://api.fixer.io/%s\" % date)\n",
    "    sleep(0.5)  # be kind to the API!\n",
    "    json = res.json()\n",
    "    return [(date, json['base'], k, v) for k, v in json['rates'].iteritems()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def daterange(start_date, end_date, fmt=\"%Y-%m-%d\"):\n",
    "    for n in range(int((end_date - start_date).days)):\n",
    "        yield (start_date + timedelta(n)).strftime(fmt)\n",
    "\n",
    "dates = daterange(date(2014, 1, 1), date.today())\n",
    "rates = list(chain.from_iterable([get_fixer_rates(date) for date in dates]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>base</th>\n",
       "      <th>country</th>\n",
       "      <th>rates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>EUR</td>\n",
       "      <td>USD</td>\n",
       "      <td>1.3791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>EUR</td>\n",
       "      <td>IDR</td>\n",
       "      <td>16764.7800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>EUR</td>\n",
       "      <td>BGN</td>\n",
       "      <td>1.9558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>EUR</td>\n",
       "      <td>ILS</td>\n",
       "      <td>4.7880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>EUR</td>\n",
       "      <td>GBP</td>\n",
       "      <td>0.8337</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date base country       rates\n",
       "0  2014-01-01  EUR  USD     1.3791    \n",
       "1  2014-01-01  EUR  IDR     16764.7800\n",
       "2  2014-01-01  EUR  BGN     1.9558    \n",
       "3  2014-01-01  EUR  ILS     4.7880    \n",
       "4  2014-01-01  EUR  GBP     0.8337    "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "currency = pd.DataFrame(rates, columns=['date', 'base', 'country', 'rates'])\n",
    "currency = currency[~currency['country'].isin(['LVL', 'LTL'])]\n",
    "currency.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rates</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BGN</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRL</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHF</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNY</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CZK</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DKK</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBP</th>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAASCAYAAAD7RgOSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAACHRJREFUeJzt221sFNUex/HvOTM72wda6rbUtqtYEESwWDBFhVCCiCBEGqAQNBgIEdBLgrwyQZMbjRFB3yhqyI00wUgCvhB6ey0kXBQC8mSBsjzIU7Voy7a0tNAnWnYezrkvNnivAl5EQqnM5+3uzpyZ7PzyP+f8R2itNT6fz9cNZHcPwOfz3b3M7h7AbwkBlqXJylL07avYtSsAwGuvxRgyRPDxx4KiIsWUKQbV1YqZMy0AkpIU5eUehYUByssd8vIkJ054tLTA8eOaBx8UrF0LkYjJlCkO4TB0dAgaG6GrCyoqDAoLPaqrBeGwpl8/TUcHRCKS4mLNwIFgGJCeLklJAaUgO1vieRqtITfXQIjuvHM+X88j7rQp2JdftpKfn8LXXzt0dQkKC00OHHCprNSUlARZuDDG0aOC48dNAgHNihWKUaNMNm1yeOONAI4jSElRWJYmFNJUVZlMmxZj/36TmTNd5swJkJl5deG3bZvNuXNwzz2CmhpFbS3YtmDyZMGGDYrWVsHBgyYJCZq0NI0Qmro6g1hMcPmy4NlnbTIyYMgQTU6OYOJEk6wsSW2t4vBhF8OA5GTJ6NEm0q87fT7gDgyg06fb6dUr5ZqfnTunyMq6/tOrNTQ2KkIhSSBeOOF58crlVlCKa4ZHba3H1q0ee/dCr17Q0AA7dlhkZ3tcuiTo188DoL1dEI0aDB3q8u678MwzgV+O0damSEqSuC4kJNz8GLu6NNGoQgjo3//aVVlrqyYQgKQkv2Tzda8eFUA9SXOzor1dc++9ksTE/z7onZ1QVmbzzjsmeXkuhw+b5Od77N5tYprxwJwwwWHhQkF9fbzyam3VzJplkJkp8TyBUvFpX02Nx9q1mtTUeKBEIoJvvzVJTdU0NBgEAprevRWLFrkkJUFjI9TVCfbskdTUmMyeHaOy0uCTTzTjxgV+52pg2zaH9esVffvCq69apKYKhLh2KEciLiUlHqWlJrNmuUyfbnDhgiYSUYwZIxk7Nn6u06c9olHF9u2KpUstPxDvQn4AdZMjR1yiUc2AAZJTpzwKCuLLccGg5qOPXPbtk4TDmsxMTU2NYN8+k6QkjWnG18mEiH+3qMgjGgXDEIwYocnIEEyYYNHRoWlqUlRVeWzeDK6r2bgxyODBDmPHKiZONDh4ULFzJ5w4YTBpkstjjwmmTQsQiymOHvXYs0fz00+C+nr47rsAr7xic/SoYMcOi5wcj+RkzYULkmXLHBISBG1tcPasZvXqAOPHu0yfLnj/fbBtaGuTFBS4lJYGGTHCobIyPhV9+GGX+nrJk096DB6sqa0VBAKwYIGgsDBAZaWDbQueeML019j+gvwA6iG05k8/gNc7xvbtDj/8oNm4UXD2rKSlRRIKKV54wUUIKCiQ9O0rGTgwPpf1PKiqcolGFT//DJs3w8WLkpwcRWIivPiiYMyYa1dUu3c7nD+vqa7WzJ8fr6SamhSrVjloDf37Q2srrF5topRASk1ioqalRfLoox6ffSYZMOAWzal93c4PIN9VzpzxSE4W11ysv13a2zVdXZpQSGIYcPGi5sMPbU6elAwfrjh/XvDppwFSU/2yqCfz92N8V+nXz+jW8AFISYkH4JUpZygkWLrUYtAgRXW14KuvTMrKHCC+8fDNNw5797rdOmbfH+dXQL4e6YMPYnz+uUnv3pq6OklurkdTkyQcVrz8smbuXItjxxyCQUFe3u1rdzt92uOhh/wp4o3yA8jXI126pIlEXKSEnBzJAw8YtLUpNm1yWLnSpLbWoE8fj+Zmybx5NuEwLFhgct991w8HpWD58hhVVbBokSQUkpw7p8nMFP83VBoaFAUFmrNnDRobFX36XL+CdF1YvtwmL09QU6NZssS66fvwR9g2HDrk0tKi2bVLkZYGkyebDBpkcGHmfNKbqhA7dtyWsVzhB5DvL8fzoKVFkZ4uqahw2bnTo75esHlzfCdt5EiXBQtg3LgAaWkCpWD1apvSUqitlXgenDoVr5ry8hyiUYOCApfRozVz5piEQvHWiiu9ZuvW2SxbJmhslGRkKJQSrFkTb8X44gtNSYn1q1aMt9+2efNNi2HDHCKRAPPmxRg1Cl56Kfi7Gw1nznikp8ubWvfq7NQkJwuysz0CAU1NjUlhoc2RIybhsMc/To6nUO2M71TcRn4A+e4aDQ2Kjg7Nli0e5eUCrWHWLEVJicGZMybPPRfjrbcCZGdLHCe+thQOSxob45XVvn2C8nKLhATN5cuCrCyPYcM89u83WLLEYcaMIFLC66/blJYGycjwaGoyePxxh+JiRX6+pLjYwLKgvFyRm2tSV6dYv96lrEySlqYZPlwRDmv695fk5krCYYFlCZYtc1izxuKRR1wOHgz8Kqh273YZOfLXHfbNzZrFix2ysjTPPy+ZPFmSl+exbp2F50FHh6Z3b8Hx4x6HDrn87asien37bz+A/ADy3Q5aw+DBivZ2yZIlMYqLzet2jv+vH3/0yM01OHDAZf9+j/vvF6Smwtix1i+/tW04dcpl6FCT+nrF1Kma3FyPXbss3nsvxuzZV1c6nZ2asjKH8nI4edJg6FCPrVstkpIUphnvo6qoUMydqygq8lixIsj337ssXKjYs8eioMDhqacU+flQUQFbtxqcOGEycaLNli0WM2bYrFx5/amec76BzL+/TOK//vkn7+wfc8cF0LFjdQSDwe4ehu8uEInE//rDht2erfyGBkVmprzhfq4rXeaOo2lvj+8ENjdrpk69h85OQXu7ZPHiNiZNslm1Kok+fTzWrElh+PAY8+d38PTT8eNs2CAZN84jPf36J3Ych4wMi8zM0C240ht3xwWQbdvdPQSf746mtebKYyt/8x6M53lIKRE30bVqGAbGrXpx8gbdcQHk8/nuHv8BbYzHi1wW7okAAAAASUVORK5CYII=\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HKD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HRK</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUF</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDR</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ILS</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INR</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPY</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KRW</th>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAASCAYAAAD7RgOSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAACBpJREFUeJzt221sFNUex/HvOWd2Sktb21LaLbRSCsV4QWKhbJsQvD7w4I2EFEOUGIgJQS/hhZiYq6+KGiPGqMFERRMCohEjAfSKJCIxGih4DYZi2gZoKUVopSz0gdLHmZ05574YLgritSrSKvN5tcnsbP6z2fnNefivMMYYQqFQaAjIoS4gFArduKyhLuBK58+DZRlaWzXFxeqyY4895vL111Bfb5Gfrykp8cnLg9GjISMDolFJSoph5UrJqVMKxxEAKGXwfYGUhpwczeLFHtnZIKUgPR2OHjW8/36EESMM8+d7PPGExaRJ6mrlhUKha0gMtylYWZlDV5eipUVSUKBpaZFkZhry8jSNjZJdu2BgAKqqPIwRNDQYensF+/Yp4nHFpEkeixf73HuvRWqqYMeOBA89lMTx4z4pKVBYePVgSSQMx4/7bN7ss21bBN+HceM0ycmG8nJNerrBGGhpEUgpqKgQ3HyzQEoYO1aSkxMOJkOhX2vYBdCqVRcoLBzBggU2dXUeo0YJ2tsNvb2a6dMjpKWJq57X02Po7jbk5f3+IDh+3OfUKc0XX2juvltw8KDBdSWeZ0hPB88zrF2bxKRJHm1tko4OyYoVDlOnwpw5FkoJRo4kDKVQ6BcMuwBqaOgmNTVtqMv4RVqDvJgvdXUe27b5rF+fRHKyJiPD0NMjyM8PXs+cqWlqEnz7raS83GfVKsXEiYqGBp9vvtFoDa4Lt98uSEsTRKOCwkKFMbBvn8v27Ya6OsHo0VBWBlOnCqZMUfT3G9av9ygqEuTnC269VZKfrxBXz+jr7tlnHQYG4M47JRkZ0NhoiMUURUVBjTLM5+vqgw9cKipsRowY6kp+EAbQNWQMl27+7m5DU5PPiROao0cNWVmCtjZDIgFbtkQwBtLTDbGYh20H59TWShxH0NysyM3VtLcLcnM1M2f6jB8PkYhg505BQ4PC96GnR1BR4dLdDadOKVpbJa4rePHFBOPGwYwZFmPG/L67/NAhj0TCUFioOHZMc/Kk5sEHbZT66fuMgfZ2w7p1hvp6yZEjFnl5Pp4H584pYjGXmppgepuWZigp8ejsFMRimjVrbDIzh0ly/gX5PlgWbNjgsmyZPdTlXBIG0DDU12f47juPvDxFZubVA8QYiMc10egPxx0Htm51OHAAzpyR1NQosrI0K1f65OYKLAsmTJBMm2bx3nsu/f2Gjg5oboaiIigulsyZY/Hccy4g8H1Yu9amuNijpUWiFBQU+IwZY3j4YSgogMZG2L0bdu60GDXKIKWhtNRn6VJBUZEiOztIqrNnNTk5ks5OgxBw4ECCnh6IRGDFCpvsbJ9x4zRJSUGIL19uWLAggm1DamoYTL9HIgFLlzps2ZJENOrT3Ky4cCF4QHZ0GEpKFObRRxndcQyxZ891rS0MoL+w3l5Dba3H228b+vrg4EEL1w2OTZ7sk59vyMgw2HYwBfzsM4vW1iAwFi8eYNQomDvXorTUor7ew7IE0aji8cddPA/icUFTk+LJJ11mzYr8ZNdysBzHUFfn09ysSU8X9PUZXnpJ0thokZPjs3cv3HJLuCv5axgDX33lceiQz8GDUFMjeeEFQWWloaFBcf785Q+2/yT9nXJnb3DidRQG0A3m9OlglJGVJX+yVuQ4we9vOKwRDAxoLlyAnTsTbNigWL1as3BhhIyMcDT0Y52dhg8/THDXXYozZwylpRa2DatXO7z2WoQ77khQXW3x/PM+s2fbFx8cmqYmn2hUYllg24K//esfjNyzOwygMIBCV3rzTYeqKkFtrcWGDR4VFfZl620/p7/fsH17gvvui6AUpKcP3/BKJKCzU1/aOdU6uL4fX+P588Fo1baD6XRVlcfs2QrXDd40caJHIiGYN8/jo48s3nrLUF4+uFa/xLk4OZX/JHnHv6/5tf0/YQCF/jTefdfhlVcscnIMhw9bVFV5lJVZvPqqw4kTkJQUrEvF47Brl6S9XeJ5wc187pzijTdcliyJXJcgqqnxcN1g6nhl60hfn2HsWMOUKT7V1YqSEp+WFsHJkxYVFS433RRsVGRlae6/3yMlBVpbBVu3RhgYEESjPrGYz5dfWjzzjMcDD9jE45q8PMmePQ41NVBcLJg3zx70jqjjOKSk9JKbm/UHfBs/Lwyg0J/K7t0urgsffwxlZYbaWjhxQjJ9uqatDRxHcOSIZNUqzfjxwYL7sWM+33/vU1kpOX1asWSJy8sv2z87nfO8YMfo12pp0RQWCiZP9qmpCT4gI0Ozdm3QeT93rs2mTS6bN0NTk6Ky0qOoSNHaqsnMFIwcKdi/X/P557BsWRCc1dWG/n44fFjy9NOC5GRBfb2mrc0wbZpkypRr82eGMIAuCgMoNBgbN7pUVtrcc4/LunWRQe+UnTmjeeopj8bGYA1swYKgQ76vD7ZuDRbp29oUjzzisnSpZNasX77BP/nEZf162L/foqTEIxYz5OYKFi2yeecdh337BIcOKbq6BBMm+BQXG9asuT4jscEKA+iiMIBCg2EMdHWZ37Qo7ThQVeVSV2f49FPJjBkaz4OFCyUFBYrqao/6es2mTRGSk4MdwvnzPTZuTAIgHvdITVWcPKnxPMOiRUGQxWKS8vLIVUdPZ89qmps1t91mXer7Gk7CALqoru40SUlJQ11GKER3N7S3B53qy5dn0tsbLP52dUmkNCgFtm0oLXV5/fW+YdOB/lskEgmys21ycm7wAHL/16gSCg0jWmt830cIgWVZl17Lv9D/SZRSqCtb3P9gwy6AQqHQjeO/RkKvBIpQ36AAAAAASUVORK5CYII=\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MXN</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MYR</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOK</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NZD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHP</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLN</th>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAASCAYAAAD7RgOSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAACchJREFUeJztm3dsVWUfxz/PWbe9pRVa2ptCZSjSEYgIyKgQQEEZsodESNDEoChIwAUyJGGEoUJTJyQMgUDRKNMGZVhfkVEqFkoFFET6MopAKWX0nvW8f1zEFwWkBWyB8/nn5p7ce87vWd/feJ4jpJQSDw8PjwpAqWgDPDw87l48AfKoNOzaZRMIOERGuggBTZtaREa6hIVJTBO2bLGpVs0lNtZBCDh61K1okz1uEE+APCocKeG114J06wYdOths2BC6npurMWmSTUqKzYABQbp1E4wfb5Obq5KaapKVZVes4R43jFbRBpSXtDSTPXsk6ek+tDK2YudOm9xcl6efNlDVW2Pf3YbrglJOd5adbbF4sUb79jYvv6xTo4bC8uU2rgvNmxs0aGCTkQFz50oaNzYAeOABya+/wtmzEk0ThIXdxMbcoWzaZBMICH74wSE5WSExUcMwKtYmcbsVoc+ckRQWujRrJggEHCZOhL599ev+/+efm/TubRAb6zBjhsOgQTc2AqWlVPrJv3+/w9q1NtWqCfr1K5/olpRIGjVyOHJEpUULCykFv/yi0Lq1TVISTJjgIzLSJTpaEhYmOX9e0LmzzciRGvXrX/uBAwYEiY6G0aN9123P7Nkm06ZplJYqNGlisWWLfskR7dhhExOjUKvWnRPgp6WZtG6t0Lhx+WIG2wZdByEkSUk2P/2kU7WqS3y8Q8+eLqMPDiXiv/sQWVk32fJrc1sJ0IYNFo89FhKbwYODJCcLPv5YYfp0l0aNNO6998oTbts2C8uCvDyXMWM0hgxxaNRI0KePTrt2JlFR8OabgmbNLhcyy4LCQoeMDIdjxyTh4bB3r2D9ehXDANMUnDyp0KuXyXvvaRw+7JCfLxECEhP/fr+bTWkpfPmlRXa2y6JFGoYhiY2VbNyokZlpIyXUrSvo1w9q13bZsMGgRw8Tv1+yebNKUlJIMBo0gBYtFNq00XGcULvDw0Ois2aNRfPmKiNH2pSWCkaMUMjKcggEBKoKubkSx4GkJAgEBGvWSFq2FNSpozBnjsvXX+u0bGmzZImKaUpq11YR4s82nDzpUrcufP+9IDpaXL2xf8E04dtvTQoKJAsXKqgq5OXp2DYYBqSmWqxYobJli03HjkaZo+TKwKpVJjk5kr17BUuXGjRpYrF9+7XnlJSQn28zb55DzZqCJk0UGjRQaNvW4ehRhdWrBQkJChcuSIqKJPn5Ns88Y/AftQ2tnG9DN/gXqXQC9NZbQXJyBHv3KkRESIYPlxQUSKKjYfVqQXy8JDZWMHCgRkyMQnp6kI0bFbZt0xk+PMjMmT5atbKIjXUZNEjhjTcEpgmFhQpNmzoMHCjp2jUU9eTk2Bw44PLZZ7B1q06rVhaHDil06uRw+LDg558FBQUqiYkOLVq4nDsXsrF/f5WSEkhIEPj9gokTLVav1jFNQXi4pHFjm5wcjbfftqhRQ9Cli3HZovt/bBu2bbN5+GENXQ+lFGFh4roWzKuvBpk7V6OoSCU9PUhMjMK0aZCbq1O7tk1UlGTfPo1WrSwWLDDYutUmPd3lm28MnnzSpFMnOHAAsrOhoEChpERQXKxgWYKICBfHEZSWhgzv2tVk5kyD8PCyjefZs5LJk00WLjSIjJT07GnRt6/AsgQvvRQa46Qkl48+Kn8kKiU0b+7w3HM2R45AVpbK8eMKUkJxccgpdeli8sknGpommDDB5J13fFcdk3+D9HSTQYN0tmyxefxxHdOEKVOCbNokCAQku3crFBYqdOliExcHhiGYOlXjlVcsJk26eqQ4aVKQWbM0UlIcwsJgzx6FggKN7t1Npk/XqVLlyo2u+vQT+LO+8gTovvtsOnd26NpVJTvbZdw4g/r1bSIjJfHxklGjVOrW/XtIn59v07u3Qq1aDidOKHTsaDN/vo/ERJuePR2GDLl2rejgQYe8PJfISFizxsXvh3r1BP37l817Og6oKmRmWqSlwa5dOn36mCQkSPx+mDz5z8nz4YdBRowwUFXJ+fMKVau6nD6tULOmw/PP24SHC4qLQxGVacLWrQqnT0PLli6//y5Yvlxn7VqHwkJJmzYhz+i6IRv0i47SdUEILltspaXg811+zbYhM9OkXTsdRYHCQpeYGOVSuhYRcWOr1bZD6fPQoRbBoMAwJNWrS7p3F6Sm6vj9N3b/VatMFi+GGjUkgwerVK+uYNvw228uCQkK6ekWn34a6utz5xSys22EgBdekBQXQ8eOLjNm+PBdfxZYJkwT1q+3SE3Vyc+3SU3VuP9+m/37NerUsTl4MPTZq5fDsWPQsaPCQw9pl0WFOTkW3brpZGSY9Ov3p2CXlkJaWpBduyAjw+Crr1wSE0MDd/Soy9tvW4wda1Ct2tX72Pq9kLhxzxO+cvmt6YCrUOkE6McfS4iLi7z0/eRJl+ho5bq81fHjLjt3OjRqFJqAwWAoHK9IT3fihMvs2RanTgmWLdMZO9akYUOFkSMFhw5p+P0uS5aEtp0LClzatNHJzLTYtg3WrdN48EGbOnUk584J2rcX7NjhUlQE9epBp07aFcXY48oUF0ukhFmzTPLyBLt3a/Tta5GfD5s3+4iIcOnRw2LePN8lAb9ZLF5s8uyzOpomuXBB4Z57XF5/3aJuXYXDhyWBADRsqBEXd+26VVqayRdfKCxYAO+/77Bqlc6ZMwopKTY9ejg8+qhKcnLZ881gMIjff45AILq8TSwXlU6A9u0roUqVyH/+4W3IunUmH3wg2LpVJzHRYtUq7ZqRxR8jU5ECeidSVCRZutQkOVmhbVsdKUN9ffy4y6BBDmfPChISJFOnCh55pOyL+bvvbDp0UCksDEWOTzxhsnlz6EhBv34GrgvBoCxX1CclDBhgsnNnaNdw2DAVVYWoKKVMNbS/4gnQRe5kAYJQSnThgrzhlMbj1rBihcmLLxqMGxdk4kQfo0cHqVkThgzxXdcxg0WLTNLSYPt2g2HDggQCgrlzFZYtU4iPr7y7chUlQLfh3sDtjaLceD3F49bRvbtB164APg4fDlJcDAsWaNSvb9Ghg05JicTnE387P1NQ4F7c9jcYPTpI//4m48frnD+vMGpUkPh4b6ldCa9XPDz+wh+RzsSJoYp0MBhkzBjBihWlzJnjIyrK4d13Hdavh+RkyfbtgpUrQ0Wjp54KMnSoD8cBv98kJUWlXr1bVNm+A/BSMA+Pf+DUKZeVK21OnQJdl6iqZPLkMOLiHOrXdzh/XjB/vkpJiSQhQb0tzxx5NaCL5OUdwXer9kI9PG4Cti1JSanOlClF9OlzZ7wQa1kW1asbxMXd5QJkmmZFm+Dh8Y+4rotS3pffKimqqqL+yy9HVjoB8vDwuHv4H1FsEKD1HuuOAAAAAElFTkSuQmCC\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RON</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RUB</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEK</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THB</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRY</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USD</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZAR</th>\n",
       "      <td><img src=\"data:image/png;base64,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\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rates = currency.groupby(['country']).aggregate({'rates': sparkline})\n",
    "HTML(rates.to_html(escape=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:python3.3]",
   "language": "python",
   "name": "conda-env-python3.3-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}